Comparison of global tests for functional gene sets in two-group designs and selection of potentially effect-causing genes | Zendy

Klaus Jung | Zendy; Benjamin Becker | Zendy; Edgar Brunner | Zendy; Tim Beißbarth | Zendy

Open Access

Comparison of global tests for functional gene sets in two-group designs and selection of potentially effect-causing genes

Author(s) -

Klaus Jung,

Benjamin Becker,

Edgar Brunner,

Tim Beißbarth

Publication year - 2011

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btr152

Subject(s) - selection (genetic algorithm) , gene , gene selection , computation , set (abstract data type) , computer science , computational biology , r package , multiple comparisons problem , data mining , genetics , biology , algorithm , gene expression , mathematics , artificial intelligence , statistics , microarray analysis techniques , computational science , programming language

An important object in the analysis of high-throughput genomic data is to find an association between the expression profile of functional gene sets and the different levels of a group response. Instead of multiple testing procedures which focus on single genes, global tests are usually used to detect a group effect in an entire gene set. In a simulation study, we compare the power and computation times of four different approaches for global testing. The applicability of one of these methods to gene expression data is demonstrated for the first time. In addition, we propose an algorithm for the detection of those genes which might be responsible for a group effect.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research